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by smogzer 4901 days ago
Cool effort.

But ... its a score to jstor. It's unorganized.

But ... science if full of noise and crappy publications these days anyway. Lots of ways to do the same thing, unprooven and only exists because everybody has to publish to stay relevant.

Now: How to really improve science ? My suggestion: A big python framework for each field of study. That has implementations of the real algorithms and models for comparison and benchmarking and even real life implementation.

See as example in the robotics field, ROS ( Robotics Operating System) . Ros is like a basis glue framework where universities and individuals can publish their code. Its decentralized, it has simulators so that scientists do not need to own the physical robots and can even compare(diff) results and algorithms in a very fast way.

The simulator can have a embedded browser + wiki + quora that explains X.

evolution: physical paper -> PDF -> simulator.

2 comments

It's not meant to be a competitor to JSTOR, as much as this is a statement in honor of someone.

A framework like that would be awesome, but that has a different meaning from the collection of personal pdf posts/uploads each individual on Twitter contributed.

For someone who has been working on OA and scholarly publications for a few years, it's a bit tricky to enter these kinds of debates. On the one hand, I want to respect Aaron's legacy, and am very touched by the spontaneous and organized moves to honor him. On the other hand, I am very interested in these issues, and love discussing them, seeing how we can do things better.

For smogzer, there is some interesting research on how knowledge from the research literature can be better represented. For example using concept mapping, see this great paper by Simon Buckingham-Shum (who has many others): http://oro.open.ac.uk/6463/1/kmi-04-28.pdf. Anita de Waard has given many presentations on semantic and executable papers, for example http://www.slideshare.net/anitawaard/executing-the-research-....

> But ... its a score to jstor. It's unorganized.

I'd imagine competing against an organization that's been around for 18 years won't take 6-7 hours of coding. :) It's an MVP, one I'm quite embarrassed about. But I'll continue coding. Someone suggested an open Google Scholar approach - that's one direction this project could head in.